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Argus

Argus is a token security ASP on OKX.AI. Trading agents get instant SAFE/CAUTION/DANGER verdicts before they buy, plus a paid x402 detailed risk scan on X Layer.

Videos

Imagen del proyecto 1
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Imagen del proyecto 4

Pila tecnológica

Node
Web3

Descripción

Argus is a token security Agent Service Provider on OKX.AI. It helps trading and investment AI agents evaluate token contracts before execution by returning fast, machine-readable risk results.

The product offers two services:

1. Quick Risk Verdict (free) — instant SAFE / CAUTION / DANGER verdict via GET /scan

2. Token Security Scan (paid) — full risk factor breakdown via GET /scan/detailed, billed per call with x402 on X Layer ($0.02 USDT)

Argus uses GoPlus Security API for on-chain security data and OKX Payment SDK for pay-per-call monetization. It supports Ethereum and BSC token scans, with payments settled on X Layer mainnet.

Target users are AI agents on OKX.AI that need a security gate before buying or recommending tokens — reducing exposure to honeypots, scam contracts, and high-risk assets.

Live endpoint: https://argus.lykan.website

ASP: Argus #6260 (listed on OKX.AI)

Progreso del hackathon

Built and deployed Argus end-to-end during the hackathon:

- Designed ASP concept: real-time token security for AI agents (Finance / Software Utility tracks)

- Implemented GoPlus-backed scanner + deterministic risk engine (SAFE / CAUTION / DANGER)

- Built Express API with free /scan and paid /scan/detailed endpoints

- Integrated OKX x402 payment on X Layer mainnet (verified 402 challenge + end-to-end paid detailed scan)

- Deployed to production VPS with permanent HTTPS domain (argus.lykan.website)

- Registered and listed ASP identity #6260 on OKX.AI with two A2MCP services

- Added public landing page and completed live testing on safe + honeypot tokens

Estado de recaudación de fondos

Not fundraising. Built as a hackathon submission and live ASP on OKX.AI marketplace. Open to continued development based on agent adoption and usage.

Líder del equipo
CCem AYYILDIZ
Enlace del proyecto
Desplegar ecosistema
OKX.AI ASP on X LayerOKX.AI ASP on X Layer
Sector
AIDeFi